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Biomedical Image Processing Jobs in California (NOW HIRING)

Vivodyne

AI Senior Scientist

San Francisco, CA · On-site

... trends in Generative AI, biomedical imaging, cloud computing, and data-intensive training ... Demonstrated history of success with image processing and large-scale model training. * Technical ...

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Biomedical Image Processing information

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$15

$28

$38

How much do biomedical image processing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for biomedical image processing in California is $28.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $31.78 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in biomedical image processing, and how can they be addressed?

Professionals in biomedical image processing often encounter challenges such as dealing with noisy or low-quality images, managing large datasets, and ensuring compliance with data privacy regulations. Addressing these issues typically involves using advanced image enhancement algorithms, collaborating with data scientists and clinicians to validate findings, and staying updated on data security best practices. Regular training and cross-functional team meetings can help in overcoming technical and regulatory hurdles, while contributing to a collaborative and innovative work environment.

What is biomedical image processing?

Biomedical image processing is the application of computational techniques to analyze and interpret images from biological and medical sources, such as MRI, CT scans, X-rays, and microscopic images. The goal is to enhance, segment, and extract meaningful information from these images to assist in medical diagnosis, research, and treatment planning. Professionals in this field use algorithms and software tools to improve image quality, detect abnormalities, and quantify biological structures, ultimately aiding healthcare professionals in making more accurate decisions.

What is the difference between Biomedical Image Processing vs Medical Imaging Technician?

AspectBiomedical Image ProcessingMedical Imaging Technician
Required CredentialsDegree in biomedical engineering, computer science, or related field; knowledge of imaging softwareCertification in radiologic technology; associate or bachelor's degree in radiography
Work EnvironmentResearch labs, hospitals, medical device companiesHospitals, clinics, diagnostic imaging centers
Industry UsageDevelops algorithms, enhances images, analyzes medical dataOperates imaging equipment, captures diagnostic images
Common Search/ComparisonFocuses on image processing and analysis techniquesFocuses on image acquisition and patient positioning

Biomedical Image Processing involves developing and applying algorithms to analyze and enhance medical images, often working in research or software development settings. In contrast, Medical Imaging Technicians operate imaging equipment to capture diagnostic images directly from patients. While both roles work within the medical imaging industry, their responsibilities, credentials, and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a Biomedical Image Processing Specialist, and why are they important?

To excel in Biomedical Image Processing, a solid background in biomedical engineering, computer science, or a related field, along with experience in image analysis and signal processing, is essential. Familiarity with programming languages (such as Python or MATLAB), image processing libraries (like OpenCV or ITK), and possibly certifications in medical imaging technologies are typically required. Attention to detail, problem-solving skills, and effective communication help professionals interpret complex data and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate diagnostic tools and advancing medical research through reliable image analysis.
Biomedical Image Processing jobs near you
Infographic showing various Biomedical Image Processing job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $58,556 per year, or $28.2 per hour.
Research Engineer

Research Engineer

University of Southern California

Marina Del Rey, CA • On-site

$89K - $99K/yr

Full-time

Posted 3 days ago

University Of Southern California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

95th of 535 rated colleges and universities

Job description

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. LONI's unique multidisciplinary environment and cutting-edge resources allow for integration of clinical, psychological and genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology.
The Mark and Mary Stevens Neuroimaging and Informatics Institute is recruiting a talented full-time Research Engineer to help with various projects on neurodegenerative disorders. Under the supervision of the PI, the candidate will assist with data processing, analyzing the data, applying machine learning, generative AI and ensemble integration methods to the datasets, data visualization for interpretability of the models, submit abstracts and papers to conferences and assist in preparing manuscripts.
Designs, develops, and tests materials and prototypes for research projects. Investigates the feasibility of applying specific scientific principles and concepts to potential inventions and projects. Analyzes and presents data as appropriate and makes decisions to further the goals of the experiment.
Primary responsibilities will include working with large scale databases to identify and provide trajectories of brain decline. The candidate is expected to provide thorough documentation of methods publicly on GitHub, and be comfortable training coworkers in the methodologies. Tasks also include writing conference papers and assisting in manuscript preparation. The candidate will be responsible for working within the scope of funded projects, including but not limited to brain mapping in aging and Alzheimer's disease.
Required Qualifications:
  • Master's Degree in Electrical Engineering/Biomedical Engineering/Computer Science/Data Science and 3+ years of experience in neuroimaging.
  • Strong understanding of machine learning, deep learning for biomedical imaging, computer vision, Generative AI and ensemble integration of artificial intelligence methods, statistics and image processing.
  • Experience working with large-scale neuroimaging and genetics data.
  • Proficiency in oral and written communication as determined by contributions to scientific conferences and related presentations.
  • Supervise assigned student workers for completion of a project.
  • Experience in designing, developing and maintaining pipelines/tools using machine learning and deep learning for neuroimaging applications.
  • Knowledge about data visualization and various data analytics tools and libraries.

Preferred Qualifications:
  • 5+ years of experience in applications of AI in neuroimaging.
  • Experience in working on projects related to aging of the brain to predict the structure of the brain as a function of sociodemographic and genetic factors.
  • Experience building raw or segmented MR image quality assessment tools using machine learning and deep learning.
  • Experience with synthetic data generation using generative models for harmonization of imaging data from multiple sources/sites using deep generative networks.
  • Knowledge about ML models for classification and regression, deep learning networks like CNN's, RNN's, autoencoders and generative models like GANs, diffusion models, vision transformers.
  • Experience writing and distributing code in Python, R, matlab, C/C++ or similar languages.
  • Experience with ML frameworks such as PyTorch, Tensorflow, Keras, etc.
  • Contribution to ISBI, ISMRM, OHBM, MICCAI, SIPAIM, EMBC or other AI in medical imaging and related conferences.

The annual base salary range for this position is $89,291.89 - $99,000.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
The university is committed to maintaining a safe and secure environment for students, employees, volunteers, and visitors on our campuses and those entrusted to our care, including patients, students, and minors. To that end, the university conducts background screening, including screening for criminal convictions, on all applicants after a conditional offer of employment and as a condition of employment. Please refer to the Background Screening Policy Appendix C for specific employment screen implications for the position you are applying for.
Minimum Education: Master's degree In Engineering Or in related field(s)
Minimum Experience: 3 years
Minimum Skills: Experience in a laboratory setting conducting scientific research. Excellent written and oral communication skills. Ability to communicate technical information to non-technical audiences.
Preferred Education: Doctorate
Preferred Experience: 5 years
Preferred Skills: Proven experience achieving results in a scientific research environment. Deep knowledge base in specific field.
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.
  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser:
https://wd5.myworkday.com/usc/d/inst/1$9925/9925$128101.htmld

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About University of Southern California

Sourced by ZipRecruiter

The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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